Let λ ∈ R be an eigenvalue of an orthogonal matrix A. Show that λ = ±1.
(Hint: consider the norm of Av, where v is an eigenvector of A associated with the
eigenvalue λ.)
Also, find diagonal orthogonal matrices B, C such that 1 is an eigenvalue of B
and −1 is an eigenvalue of C.
Let T:R^3--->R^4 be defined by T(x1,x2,x3)=(x1+x2, x2+x3, x1-x3, 2x1+x2-x3). Check T is operator. Find kernel and range of T. Find dimensions of kernel.
Let U,V be subspaces of R^n.
Show that U∩V={0} if and only if S∪T is a linearly independent set of vectors for every linearly independent set S={u1,u2,...uk} ⊆ U and every linearly independent set T = {v1,v2,...vl} ⊆ V
Let V be the solution space of the following homogeneous linear system: x1 − x2 − 2x3 + 2x4 − 3x5 = 0 x1 − x2 − x3 + x4 − 2x5 = 0. (a) (2 points) Find a basis S of V and write down the dimension of V.
(b) (3 points) Finda subspace W of R5 suchthat W contains V anddim(W) = 4. Justify your answer.
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